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Volume 2 No. 3
01 September 2021
Routing strategy of reducing energy consumption for underwater data collection
Wu Jiehong,Sun Xichun,Wu Jinsong,Han Guangjie
2021, 2(3): 163-176. doi:
10.23919/ICN.2021.0012
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Underwater Wireless Sensor Networks (UWSNs) are widely used in many fields, such as regular marine monitoring and disaster warning. However, UWSNs are still subject to various limitations and challenges: ocean interferences and noises are high, bandwidths are narrow, and propagation delays are high. Sensor batteries have limited energy and are difficult to be replaced or recharged. Accordingly, the design of routing protocols is one of the solutions to these problems. Aiming at reducing and bala...
Model-based reinforcement learning for router port queue configurations
Kattepur Ajay,David Sushanth,Kumar Mohalik Swarup
2021, 2(3): 177-197. doi:
10.23919/ICN.2021.0016
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Fifth-generation (5G) systems have brought about new challenges toward ensuring Quality of Service (QoS) in differentiated services. This includes low latency applications, scalable machine-to-machine communication, and enhanced mobile broadband connectivity. In order to satisfy these requirements, the concept of network slicing has been introduced to generate slices of the network with specific characteristics. In order to meet the requirements of network slices, routers and switches must be ef...
Harmonious wireless networks: Perspective of interference management
Liu Wei
2021, 2(3): 198-204. doi:
10.23919/ICN.2021.0013
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This paper elaborates on the harmonious wireless network from the perspective of interference management. The coexistence of useful signals and interfering signals is beneficial in throughput terms of the entire wireless network. Useful signals and interfering signals are complementary and are in juxtaposition to each other in the context of a single communication link, and are in symbiosis within the framework of the networks. The philosophy behind this could be described by the Chinese traditi...
Intelligent throughput stabilizer for UDP-based rate-control communication system
Harayama Michiko,Miyagawa Noboru
2021, 2(3): 205-212. doi:
10.23919/ICN.2021.0014
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In view of the successful application of deep learning, mainly in the field of image recognition, deep learning applications are now being explored in the fields of communication and computer networks. In these fields, systems have been developed by use of proper theoretical calculations and procedures. However, due to the large amount of data to be processed, proper processing takes time and deviations from the theory sometimes occur due to the inclusion of uncertain disturbances. Therefore, de...
Artificial intelligence for satellite communication: A review
Fourati Fares,Alouini Mohamed-Slim
2021, 2(3): 213-243. doi:
10.23919/ICN.2021.0015
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Satellite communication offers the prospect of service continuity over uncovered and under-covered areas, service ubiquity, and service scalability. However, several challenges must first be addressed to realize these benefits, as the resource management, network control, network security, spectrum management, and energy usage of satellite networks are more challenging than that of terrestrial networks. Meanwhile, artificial intelligence (AI), including machine learning, deep learning, and reinf...
An intelligent wireless transmission toward 6G
Zhang Ping,Li Lihua,Niu Kai,Li Yaxian,Lu Guangyan,Wang Zhaoyuan
2021, 2(3): 244-257. doi:
10.23919/ICN.2021.0017
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With the deployment and commercial application of 5G, researchers start to think of 6G, which could meet more diversified and deeper intelligent communication requirements. In this paper, a four physical elements, i.e., man, machine, object, and genie, featured 6G concept is introduced. Genie is explained as a new element toward 6G. This paper focuses on the genie realization as an intelligent wireless transmission toward 6G, including sematic information theory, end-to-end artificial intelligen...
